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Search results for pytorch xai

21 search results found

Pytorch Grad Cam ⭐ 8,723

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Quantus ⭐ 460

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Repository for the Explainable Deep One-Class Classification paper

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Gnnlens2 ⭐ 136

Visualization tool for Graph Neural Networks

Visual Attribution ⭐ 117

Pytorch Implementation of recent visual attribution methods for model interpretability

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Adaptive Wavelets ⭐ 60

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Imodelsx ⭐ 60

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Torchprism ⭐ 40

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off"

Xai Demonstrator ⭐ 17

The XAI Demonstrator is a modular platform that lets users interact with production-grade Explainable AI (XAI) systems.

AI book for everyone

[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.

PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

Waffle_utils ⭐ 10

🧇Waffle Utils🧇 is a set of utilities for waffle components

SLISEMAP: Combining supervised dimensionality reduction with local explanations

Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.

Counterfactual Explanation Based On Gradual Construction For Deep Networks ⭐ 6

Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

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